Researchers once struggled to understand unconventional solutions developed by artificial intelligence. A new approach leads ...

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

The headlines are scary, reporting one round of mass layoffs after another from companies including Amazon, Microsoft, HP, General Motors, and UPS ...

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

A bad actor used AI tools to compromise more than 600 FortiGate appliances around the world in five weeks, Amazon says, the latest example of how hackers are increasing are using the technology to ...